# Transcribe audio to text Get the text and captions of any recording, in 60 languages. Tool: Transcribe (`transcribe_audio`). Price: 2 credits a minute of input for whole files, charged only when a job succeeds. ## Free API ```bash curl -F file=@interview.mp3 -F format=srt https://audo.ai/api/try/transcribe -o interview.srt ``` Free for the first 2 minutes of each file, 3 times a day per person, with no key or account. Uploads up to 100 MB, 2 at once from one address. The response is the result itself; a job that runs longer than about 30 seconds returns 202 with a link to check on it. With an API key (`-H "Authorization: Bearer $AUDO_API_KEY"`), the same request processes the whole file with credits. Details: https://audo.ai/docs/api.md ## Options Form fields with the same names as the MCP tool's inputs: - `language`: The spoken language, as a code such as en or ja. Default: detected. - `verbatim`: Keeps filler words such as um and uh, so they can be cut later. Default true. - `speaker_labels`: Labels who speaks when: Speaker 1, Speaker 2, and so on, in the order they first speak, up to 8 people. No names. Default true. - `format`: what the free API returns: json (default), srt, vtt, or txt. ## Speakers Transcription labels who speaks when, unless `speaker_labels` is false: Speaker 1, Speaker 2, and so on, numbered in the order people first speak, without real names. It finds at most 8 speakers. - JSON: every word and sentence has `speaker` (a number from 1), and the transcript has `speaker_count`. A sentence never spans two speakers. - TXT: with two or more speakers, one paragraph per turn, starting "Speaker 1: ". - VTT: with two or more speakers, each cue names its speaker in a voice span, such as ``. - SRT: no names, so it stays clean for YouTube. - No caption spans two speakers. - The job's result has `speaker_labels` (`on`, `off`, or `failed`) and `speaker_count`. - Reading the transcript: MCP `get_transcript` gives `speaker_count` and each sentence's `speaker`; the REST transcript endpoint gives `speakerCount` and `speaker`. If labeling fails, the job still succeeds with every word, just without speakers: `speaker_labels` is `failed`, and the result has a `warning`. ## Languages 60 languages, detected automatically. To name one, set `language` to its code: `af` Afrikaans, `ar` Arabic, `hy` Armenian, `as` Assamese, `az` Azerbaijani, `bn` Bengali, `bs` Bosnian, `bg` Bulgarian, `yue` Cantonese, `ca` Catalan, `zh` Chinese (Simplified), `cs` Czech, `da` Danish, `nl` Dutch, `en` English, `et` Estonian, `fil` Filipino, `fi` Finnish, `fr` French, `gl` Galician, `de` German, `el` Greek, `gu` Gujarati, `he` Hebrew, `hi` Hindi, `hu` Hungarian, `is` Icelandic, `id` Indonesian, `it` Italian, `ja` Japanese, `kn` Kannada, `kk` Kazakh, `ko` Korean, `lv` Latvian, `lt` Lithuanian, `mk` Macedonian, `ms` Malay, `ml` Malayalam, `mr` Marathi, `ne` Nepali, `nb` Norwegian Bokmål, `or` Odia, `fa` Persian, `pl` Polish, `pt` Portuguese, `pa` Punjabi, `ro` Romanian, `ru` Russian, `sk` Slovak, `sl` Slovenian, `es` Spanish, `sw` Swahili, `sv` Swedish, `ta` Tamil, `te` Telugu, `th` Thai, `tr` Turkish, `uk` Ukrainian, `ur` Urdu, `vi` Vietnamese. ## From an assistant (MCP) Add https://audo.ai/mcp and sign in (setup for each assistant: https://audo.ai/setup.md). The tool is `transcribe_audio`: > Transcribes speech in an audio or video file, with a start and end time for every word and who speaks when (Speaker 1, Speaker 2, and so on, in the order they first speak). Use it when the person wants text or captions, or wants to cut by words. Not for lining up a script they already have (align_script). Set free to true to do the first 2 minutes at no cost, up to 3 times a day; otherwise it costs 2 credits a minute. Returns job_id; when done, the job lists TXT, SRT, VTT, and JSON files, and get_transcript reads them. Example: "Use Audo to transcribe interview.mp3 and give me SRT captions." ## More - Every tool: https://audo.ai/llms.txt - OpenAPI: https://audo.ai/api/openapi.json - This page for people: https://audo.ai/transcribe